[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-444404-105":59,"doc-detail-444404-en":134},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":127,"head_meta":129,"extra_data":131,"updated_unix":133},105,"en","impact-of-comorbidities-on-survival-in-melanoma-patients","Impact of comorbidities on survival in melanoma patients","","Rising incidence of cutaneous melanoma (CM) is a major public health concern, yet limited evidence explains how comorbidity patterns shape CM outcomes. This retrospective, population-based cohort study used regional Veneto Cancer Registry records (2019–2021) and ICD-9-CM hospital discharge coding to identify comorbidity profiles via latent class analysis. Among 2,114 patients, distinct classes showed different mortality risks. Comorbidity class significantly affected survival, supporting incorporation of comorbidity profiles into clinical care for better prognostic accuracy and management.",{"@graph":69,"@context":126},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/impact-of-comorbidities-on-survival-in-melanoma-patients/444404/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/impact-of-comorbidities-on-survival-in-melanoma-patients/444404.png","ImageObject",300,407,{"name":92,"@type":93},"Dipper","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-04","2026-09-29",true,{"@type":102,"interactionType":103,"userInteractionCount":81},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118,122],{"name":109,"@type":110,"acceptedAnswer":111},"What question does the study address about cutaneous melanoma outcomes?","Question",{"text":112,"@type":113},"It examines how patterns of comorbidity among cutaneous melanoma patients influence survival outcomes.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How were comorbidity patterns determined in this research?",{"text":117,"@type":113},"Comorbidity data from hospital discharge records (ICD-9-CM) were clustered using latent class analysis, with the optimal number of clusters selected using AIC.",{"name":119,"@type":110,"acceptedAnswer":120},"What were the key findings regarding mortality risk among the identified comorbidity classes?",{"text":121,"@type":113},"Three comorbidity patterns were identified, and patients in the injury–multiorgan–multifactorial class had the highest mortality risk (HR=3.08, 95% CI 2.25–4.22).",{"name":123,"@type":110,"acceptedAnswer":124},"What is the clinical implication of the study’s conclusions?",{"text":125,"@type":113},"Incorporating the comorbidity profile into clinical care strategies can improve prognostic accuracy and support patient management.","https://schema.org",{"og:url":83,"og:type":128,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":130,"canonical":83},"index,follow",{"doc_id":132,"site_id":62},444404,1791087411,{"code":4,"msg":5,"data":135},{"doc_id":132,"user_id":136,"nickname":92,"user_avatar":137,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":138,"file_id":139,"file_url":140,"file_type":141,"file_size":142,"view_count":81,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":44,"language":143,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":144,"faqs":145,"seo_title":146,"seo_description":67,"update_tm":147,"read_time":148},1374404997633,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","Buja etal. BMC Cancer (2026) 26:11 BMC Cancer  \n[https://doi.org/10.1186/s12885-025-15376-2](https://doi.org/10.1186/s12885-025-15376-2)  \nRESEARCH Open Access  \nImpact of comorbidities on survival in melanoma patients  \nAlessandra Buja 1, Fortunato Cassalia2, Massimo Rugge3, Chiara Trevisiol4*, Manuel Zorzi5, Paolo Del Fiore4, Ilaria Pantaleo 1, Carlo Riccardo Rossi6, Pierfranco Conte7,8, Anna Bel loni Fortina9 and Simone Mocellin4,6  \nAbstract  \nBackground The increasing incidence of cutaneous melanoma (CM) is a significant public health issue. However, few studies have focused on how comorbidity patterns may influence the outcomes of CM patients. This study aimed to identify comorbidity patterns among CM patients and assess their impact on survival rates.  \nMethods This retrospective population-based cohort study included all CM patients recorded in the regional Veneto Cancer Registry in 2019 and 2021. Comorbidity data (ICD-9-CM coding) were obtained from hospital discharge records and included 17 primary disease categories. Patients with at least two documented conditions were clustered via latent class analysis (LCA), with the optimal number of clusters determined via the Akaike information criterion (AIC) .  \nResults This population-based retrospective cohort study included 2,114 CM patients. Coexisting medical conditions were documented in 1,048 (49 . 6%) patients; multiple conditions were documented in 19. 9% of the study cohort. Among these patients, the LCA identified three patterns: (1) cardio-endocrine-respiratory (20 . 96%); (2) pregnancypsychosocial (29 . 97%); and (3) injury-multiorgan-multifactorial disorders (49 . 08%) . Patients in the injury-multiorganmultifactorial class had the highest mortality risk (HR = 3 . 08, 95% CI: 2 .25–4. 22) .  \nConclusions Comorbidity class has a significant effect on the survival of CM patients. The incorporation of the comorbidity profile into clinical care strategies can improve prognostic accuracy and enhance patient management. Keywords Melanoma, Health care services: comorbidity, Health care resources, Survival, Cancer registry, Cohort study  \n*Correspondence:  \nChiara Trevisiol  \n[chiara.trevisiol@iov.veneto.it](chiara.trevisiol@iov.veneto.it)  \n1Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Via Loredan 18, Padua 35131, Italy  \n2Department of Medicine-DIMED, Dermatology Unit, University of Padova, Via Gabelli 61, Padua 35121, Italy  \n3Department of Medicine-DIMED, Pathology and Cytopathology Unit, University of Padova, Via Gabelli 61, Padua 35121, Italy  \n4Soft-Tissue, Peritoneum, and Melanoma Surgical Oncology Unit, Veneto Institute of Oncology IOV-IRCCS, Via Gattamelata 64, Padua 35128, Italy  \n5Veneto Tumour Registry (RTV), Azienda Zero, Via Jacopo Avanzo 35, Padua 35132, Italy  \n6Department of Surgery, Oncology, and Gastroenterology-DISCOG, University of Padova, Via Giustiniani 2, Padua 35128, Italy  \n7San Camillo IRCCS Hospital, Via Alberoni 70, Venice 30126, Italy 8Periplo Foundation, Cremona 26100, Italy  \n9Department of Women’s and Children’s Health (SDB), Pediatric Dermatology Regional Center, University of Padova, Via Giustiniani 3, Padua 35128, Italy  \n© The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative C","cbCailxGf8JVpw92","https://ap.wps.com/l/cbCailxGf8JVpw92","pdf",1523384,"English","# Abstract\n# Background\n# Methods\n# Results\n# Conclusions\n# Keywords\n# Introduction","[{\"question\":\"What question does the study address about cutaneous melanoma outcomes?\",\"answer\":\"It examines how patterns of comorbidity among cutaneous melanoma patients influence survival outcomes.\"},{\"question\":\"How were comorbidity patterns determined in this research?\",\"answer\":\"Comorbidity data from hospital discharge records (ICD-9-CM) were clustered using latent class analysis, with the optimal number of clusters selected using AIC.\"},{\"question\":\"What were the key findings regarding mortality risk among the identified comorbidity classes?\",\"answer\":\"Three comorbidity patterns were identified, and patients in the injury–multiorgan–multifactorial class had the highest mortality risk (HR=3.08, 95% CI 2.25–4.22).\"},{\"question\":\"What is the clinical implication of the study’s conclusions?\",\"answer\":\"Incorporating the comorbidity profile into clinical care strategies can improve prognostic accuracy and support patient management.\"}]","Impact of comorbidities on survival in melanoma patients | PDF",1790707889,23]